To　select　a　typical　meteorological　year　(TMY)　for　those　regions　lacking　long-term　recorded　meteorological　data,　a　simplified　Sandia　method　requiring　for　only　four　weather　parmeters　is　proposed.　A　low-latitude　island　in　China　was　selected　as　a　case.　Based　on　the　measured　weather　data　from　2005　to　2014,　the　monthly　energy　consumption　of　a　typical　office　building　model　was　simulated.　Then,　the　Pearson　correlation　analysis　was　performed　between　building　energy　consumption　and　daily　means　of　dry-bulb　temperature,　dew-point　temperature　and　wind　speed　and　daily　total　horizontal　radiation,　respectively.　Consequently,　the　weighting　factors　of　each　parameter　were　determined　according　to　the　equal　ratio　of　correlation　coefficient.　Compared　with　Sandia　method,　the　normalized　root　mean　square　error　(NRMSE)　of　energy　consumption　based　on　TMY　selected　by　the　new　method　with　simplied　parameters　decreases　from　3.30　to　3.12%,　which　validates　that　the　proposed　method　has　reliable　accuracy　in　TMT　selection.　©　2023,　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.